python311-snowballstemmer-2.2.0-150400.12.5.1 < > , [ fp9|Zt#͕%A"HO1Z6I/<=0:#4"}QbD]t ` ⋿4q j (oM ,+zbCj&:r3RlΫȌ>jI j0> TGKKi8ggf]IveHb-qpߕ/ț%W(eWrD` }ĖL=Rk[cژolM.q S}5 ڤBW]cA > > O ? Ox d " 0 F 2 ? U r k T k * k
k k ! k
" k # k % k ' ( k ) ) ) * ( * 8 * 9 * : + F 4Z G 4p k H 6 k I 7 k X 84 Y 88 \ 8L k ] 9 k ^ E b G c G d H< e HA f HD l HF u HX k v J w J@ k x K k y M ` z O O( O, O2 Ot C python311-snowballstemmer 2.2.0 150400.12.5.1 16 stemmer algorithms This package provides 16 stemmer algorithms (15 + Poerter English
stemmer) generated from Snowball algorithms. It includes following
language algorithms: Danish, Dutch, English (Standard, Porter),
Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese,
Romanian, Russian, Spanish, Swedish, Turkish. This is a pure Python
stemming library. If PyStemmer is available, this module uses it to
accelerate. fh04-ch1c 9SUSE Linux Enterprise 15 SUSE LLC BSD-3-Clause https://www.suse.com/ Development/Languages/Python https://github.com/shibukawa/snowball_py linux noarch +
u h h Ǻ Ǻ DF DF 6) 6) t t M M % % L L u u XY XY - - B B z z + + X X 3 3 - - ~ ~ aR aR 8 8 Rh Rh vv vv w^ w^ U U {T {T q q :Q :Q 9 9 l 0i $ Q* _ 84 W ?d O 2 O Z 9 # X 9{ &w B :w Q$ O ; U # < wAA큤A큤A큤A큤 ffffffa^fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffaa]a]aa]a]a]a]a]a]a]a]a]a]a]a]a^a^a^a^a^a^a^a^a^a^a^a^a^a^a^fa^fa 936c60a202252d636972ef006130050c46c06246d901cb67facc30f0f6ca0f55 7597b59275a38df6656455f13ec2d12025c2bd7ca085040c95eeb6df81471619 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b 727be2d8abcff3db51bed4845eefea9761a4abdc063d90f59202e194365f32b0 dc4f4258a9520576a70805a050989448ee446894653bf5ac69d7cd5eceb71228 35b500e8be17973f4b6839a658b4450f2b9ad76ff617c16bdfefa1c014cb58f6 35b500e8be17973f4b6839a658b4450f2b9ad76ff617c16bdfefa1c014cb58f6 d9cafda2396ef7d55c85b8842cffca2852475254557c11bdb08d88f74814d5cc d9cafda2396ef7d55c85b8842cffca2852475254557c11bdb08d88f74814d5cc b016ae9fff3da84b32209e0088fb7a93a5093737640e9a931053a9013b0a2a2d b016ae9fff3da84b32209e0088fb7a93a5093737640e9a931053a9013b0a2a2d 23741b3976b67a9f1f7ad08945b15db264518a0f1b11093da3119f3e8d9526f1 23741b3976b67a9f1f7ad08945b15db264518a0f1b11093da3119f3e8d9526f1 29ffdbe5bd1a14d6b9bf7c25325a84f742168129f8d764a0ea58558a537c414b 29ffdbe5bd1a14d6b9bf7c25325a84f742168129f8d764a0ea58558a537c414b 2ad205e7872a0ea1027f87527891b25976bc62c4b1ff917620aa8adf7a70d306 2ad205e7872a0ea1027f87527891b25976bc62c4b1ff917620aa8adf7a70d306 91513c10c932d1cfec84df543886b2666c197052904ddc7a32fe2100396a2ffc 91513c10c932d1cfec84df543886b2666c197052904ddc7a32fe2100396a2ffc d38df57e23c2a96fac1eb16a4bf3fbfb3839f204d6b972b70f45152dd8314b2c d38df57e23c2a96fac1eb16a4bf3fbfb3839f204d6b972b70f45152dd8314b2c 1cf3e09207cd4f3a9303e6876c1251f8ac852ffcd463612e9177c3c7ab6bf0f0 1cf3e09207cd4f3a9303e6876c1251f8ac852ffcd463612e9177c3c7ab6bf0f0 e6a498efb26cfcc9cc0f499ef5ec9b6c0ba677056154f21c4999bb53e79cc760 e6a498efb26cfcc9cc0f499ef5ec9b6c0ba677056154f21c4999bb53e79cc760 8bc92949a729069235b6e62d80f2e081ac5d30975d8046a3442387752ba7f00e 8bc92949a729069235b6e62d80f2e081ac5d30975d8046a3442387752ba7f00e bebd1aa663ea9df2697cbfee13286a52a04fe39b0bb9f87eacb3f0328a00229a bebd1aa663ea9df2697cbfee13286a52a04fe39b0bb9f87eacb3f0328a00229a fb0d3f8dc9caaa9c24f7013843c28e9bbd62e56e7149a60452366065bac05b2f fb0d3f8dc9caaa9c24f7013843c28e9bbd62e56e7149a60452366065bac05b2f 0753a762c6ed1168b190ea77ab76b752c66e180199c74582601e24507ffddbeb 0753a762c6ed1168b190ea77ab76b752c66e180199c74582601e24507ffddbeb 4632ca1cdb6abc7ab0013762ccac7ce19e66edec77179a45ef5bc1a589676617 4632ca1cdb6abc7ab0013762ccac7ce19e66edec77179a45ef5bc1a589676617 10c2b3873d72f228efd03bd07d77d8c29611578aa4ac6adc8e5436b08bc551d5 10c2b3873d72f228efd03bd07d77d8c29611578aa4ac6adc8e5436b08bc551d5 a75e81cdca0fa85ea907357c7441a674b66ffc1551c50a3e7d97b73b605365d9 a75e81cdca0fa85ea907357c7441a674b66ffc1551c50a3e7d97b73b605365d9 9f478f4388fbb124bbd1e705c8a7232a4ddf286813f2cab739f77e0c577dbcc3 9f478f4388fbb124bbd1e705c8a7232a4ddf286813f2cab739f77e0c577dbcc3 972f9a17c6d5fdff417854294f436adb5f01ed4a191c6c6fd2491f7c0fe91502 972f9a17c6d5fdff417854294f436adb5f01ed4a191c6c6fd2491f7c0fe91502 db114476328c9a6da1fd6e5fe498ddf9a7bfc798956406cc386bf8791170721a db114476328c9a6da1fd6e5fe498ddf9a7bfc798956406cc386bf8791170721a 8c9a2512037532535778bfbd637a647aafa7e222b5728f4a9e9d9800d0c1bdee 8c9a2512037532535778bfbd637a647aafa7e222b5728f4a9e9d9800d0c1bdee 7d117a7764c016638d160d95e87b2e2da3de924c161e784456f6e94fc537fc3e 7d117a7764c016638d160d95e87b2e2da3de924c161e784456f6e94fc537fc3e 7a25f9ecd803aa63b3f1f3ecde5b47c9fdfd55c5f486f5ed77eca8d293d80123 7a25f9ecd803aa63b3f1f3ecde5b47c9fdfd55c5f486f5ed77eca8d293d80123 e441dbff662786af64cd1f8d0a0192b91c377fc99c91e808af2b37e3d6fa5474 e441dbff662786af64cd1f8d0a0192b91c377fc99c91e808af2b37e3d6fa5474 d9562ef081ebb01077928735782fc94428be2c0f473c749cdd9da59ef2a20ad6 d9562ef081ebb01077928735782fc94428be2c0f473c749cdd9da59ef2a20ad6 aaa6c90da94416e4a5f277f52b23ca227082bc109ea4392ccd105b65d94e82a3 aaa6c90da94416e4a5f277f52b23ca227082bc109ea4392ccd105b65d94e82a3 e0d782eeb9c16df5cb943e7fae5813039ebb7710b3f6c8e0b98be1b761034e43 e0d782eeb9c16df5cb943e7fae5813039ebb7710b3f6c8e0b98be1b761034e43 5d85ede3ede80c82a66521f14b5f76ae1c42b6fe582459e4b73c426c4efe86ea 5d85ede3ede80c82a66521f14b5f76ae1c42b6fe582459e4b73c426c4efe86ea bf432996ce2102334703fc1ff1d6797ae795d815151fdf01ba27b4c72e9ad859 bf432996ce2102334703fc1ff1d6797ae795d815151fdf01ba27b4c72e9ad859 a7de933a724236b8048d88a040cff1a5489a9803dbbaafbbd4e98f8216919862 a7de933a724236b8048d88a040cff1a5489a9803dbbaafbbd4e98f8216919862 7b340bb5613e9f3abf9dc6f80b4af19fd91dcedb41f0dc348415ccf1a0f3103b 7b340bb5613e9f3abf9dc6f80b4af19fd91dcedb41f0dc348415ccf1a0f3103b b674cbfd531b9f4b89d007c1a621fff74447f17339ea9531f47b59702ceebd99 b674cbfd531b9f4b89d007c1a621fff74447f17339ea9531f47b59702ceebd99 ebed9da6bee0a46b48be26c92714a09d2d903e40a3006e70f2c90fdccf41e7eb 244e486e72341a83bcbaa481ca8a8321c6a45af88c00d06c9b60552089488661 84e557590c31d5ed9a148e4e04bba73e760676d5042d88b8ac1370adb6115748 1cb4fa880d0fbc33853ef74843e74d0b2570a994ae649b36b1564e2ee5df3cec 751cd82a9228551416ea92ed183d3ac72243fd116fc1e8a9b2438254ac8e5da8 c19e5b6cebf835caf9948912e1f76ae3b3206da9f549df4816bdc838831f512c 5c75544bae24e5fcedc6140019b11cda3d3a525255cc2e45cbcaee006c8558ae 1ccfb53921d96c21206ab42fe7991b43288c2aa0c786ead0dcacc27a92b6ae90 1e95320cbe112ba30ce9f04d622bb5438cc2f4b97429a980763c0c64d41f953c 87f6faff870ae463bd0124fb7f20da5f763c65e84f55ec219152fdde4348d1c6 a719f6077612236c03bc4a675f6440ec2bbb0fd07ed4f3759732f87e47f3d328 89478c206063dd6dee2548904bd83e1f7451beacf85c466bd18a25182ebea40e ea3b83d131fb9b4ee49776536cedff8ec1d6a166bf1b1a0aa2475372bcb531f2 674c0bc7fb2f241f35f9f486143598e409da481b3b7aa842d5c1375eccfd68d9 e15e840fc7f0eae60bba5457c497958911a71e5ddc99a23cfa05fbd1aea5ef73 bf8bd35e77d02627ed0173f8aa0c6d6cbfb91760cadd4768deaf7dc5422b1e30 d715817b8a275f53622af16dec508be294b718e4fb974ef71fadec340324f25e f4cfa2e51ec7e199bacb0dcf02a617a82186669332145b46dd1750f48be2341b db031dc3df4b334f33d64d22bb0c44f16200898e8ea5676a6ca9fed1248f30e6 b7bb1b7587c2f89d33314bdb65026872bbe5ee9d125a7cfc5b78f0fe568de25d da24c6ab4bb5d624fdf9e9d32280bab7605c6a576be1402593bbc43734799ed0 1f7af1c4e0686985d455e23230c08068bdc82c024530b8b29b21a4e6504da343 76be36a62975fd5a57bee9f811b8342b111e778888bb1dafa00438ae02e64533 45a3deea364c49b357e08aea9d03aa1f327617158ea70ce27781a502ab3465e4 35cef76f08e9c6d74dfdc600dea6218dbd52191c07067b1b9ab30e1f17138485 d8bdc0ff1396be028278b13472e93b87f0b05188ec3d3f2a74f55da7d9f7b0d1 4e49343d663da77d312fae05e8f995779f59fb778ac859f4469fa20b946dfca1 566df36fad364f99b3fcb2d42eadc91c819848d3e3baf02d5b4224f1472812ca e974e7786fc984be20d927a7734ca9359f9acf1b8eb4ace482ce49d2cb4ced80 02a8ded6ad2d9004d4ea6648535c035babe254ebfdc3925b387bb77ec94126b0 8d1976576ea733fcea4a4d116633e01d24892acaf26026e74a5423021a381ae8 013e4a44fe0f432c440b13ac5b101dae69978be4b9ae422d4093e4ece488e786 f6f9e4c0e737728ca980de8595ded046d5e077017c1bb0ee05dc794a01434dae root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root root python-snowballstemmer-2.2.0-150400.12.5.1.src.rpm python311-snowballstemmer @
python(abi) rpmlib(CompressedFileNames) rpmlib(FileDigests) rpmlib(PartialHardlinkSets) rpmlib(PayloadFilesHavePrefix) rpmlib(PayloadIsXz) 3.11 3.0.4-1 4.6.0-1 4.0.4-1 4.0-1 5.2-1 4.14.3 dBzd7a@` ]]w@]e@]D%\l@Y0X@XWU8U&iUt@dmueller@suse.com mcepl@suse.com dmueller@suse.com dmueller@suse.com dmueller@suse.com tchvatal@suse.com jengelh@inai.de pgajdos@suse.com mcepl@suse.com dmueller@suse.com tbechtold@suse.com jmatejek@suse.com mcihar@suse.cz termim@gmail.com arun@gmx.de - add sle15_python_module_pythons (jsc#PED-68) - Make calling of %{sle15modernpython} optional. - update to 2.2.0:
* Python 2 is no longer actively supported
* Fix code generated for division.
* C#: An `among` without functions is now generated as `static` and groupings
are now generated as constant.
* Constant numeric subexpressions and constant numeric tests are now
evaluated at Snowball compile time.
* german2: Fix handling of `qu` to match algorithm description.
* arabic: Handle exception cases in the among they're exceptions to.
* greek: Remove unused slice setting, handle exception cases in the among
they're exceptions to
* hindi: Eliminate the need for variable `p`.
* irish: Minor optimisation in setting `pV` and `p1`. - update to 2.1.0:
* Add Serbian stemmer from stef4np (#113).
* Add Yiddish stemmer from Assaf Urieli (#137).
* Add Armenian stemmer from Astghik Mkrtchyan. It's been on the website for
over a decade, and included in Xapian for over 9 years without any negative
feedback.
* kraaij_pohlmann: Use `$v = limit` instead of `do (tolimit setmark v)` since
this generates simpler code, and also matches the code other algorithm
implementations use.
Probably for languages like C with optimising compilers the compiler
will generate equivalent code anyway, but e.g. for Python this should be
an improvement. - update to 2.0.0:
* Simplified generated code for ``repeat`` and ``atleast`` commands.
* Implemented “go grouping” optimisation.
* Removed caching layer (#114).
* Enabled building wheels (#115).
* Updated package README. - Update to 1.9.1:
* provide license file in the tarball - Avoid self-reference in summary. - version update to 1.9.0
* no upstream change log
* relicensed to BSD-3-Clause, se README.rst
- added sources
https://github.com/snowballstem/snowball/issues/102
+ COPYING - Remove superfluous devel dependency for noarch package - update to 1.2.1:
* fix syntax error - Fix python_module macro definition - update for multipython build - Compatibility with SLE11 - copied from python3-snowballstemmer - initial version h04-ch1c 1723064571
! ! # # % % ' ' ) ) + + - - / / 1 1 3 3 5 5 7 7 9 9 ; ; = = ? ? A A C C E E G G I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k 2.2.0-150400.12.5.1 snowballstemmer snowballstemmer-2.2.0-py3.11.egg-info PKG-INFO SOURCES.txt dependency_links.txt top_level.txt __init__.py __pycache__ __init__.cpython-311.opt-1.pyc __init__.cpython-311.pyc among.cpython-311.opt-1.pyc among.cpython-311.pyc arabic_stemmer.cpython-311.opt-1.pyc arabic_stemmer.cpython-311.pyc armenian_stemmer.cpython-311.opt-1.pyc armenian_stemmer.cpython-311.pyc basestemmer.cpython-311.opt-1.pyc basestemmer.cpython-311.pyc basque_stemmer.cpython-311.opt-1.pyc basque_stemmer.cpython-311.pyc catalan_stemmer.cpython-311.opt-1.pyc catalan_stemmer.cpython-311.pyc danish_stemmer.cpython-311.opt-1.pyc danish_stemmer.cpython-311.pyc dutch_stemmer.cpython-311.opt-1.pyc dutch_stemmer.cpython-311.pyc english_stemmer.cpython-311.opt-1.pyc english_stemmer.cpython-311.pyc finnish_stemmer.cpython-311.opt-1.pyc finnish_stemmer.cpython-311.pyc french_stemmer.cpython-311.opt-1.pyc french_stemmer.cpython-311.pyc german_stemmer.cpython-311.opt-1.pyc german_stemmer.cpython-311.pyc greek_stemmer.cpython-311.opt-1.pyc greek_stemmer.cpython-311.pyc hindi_stemmer.cpython-311.opt-1.pyc hindi_stemmer.cpython-311.pyc hungarian_stemmer.cpython-311.opt-1.pyc hungarian_stemmer.cpython-311.pyc indonesian_stemmer.cpython-311.opt-1.pyc indonesian_stemmer.cpython-311.pyc irish_stemmer.cpython-311.opt-1.pyc irish_stemmer.cpython-311.pyc italian_stemmer.cpython-311.opt-1.pyc italian_stemmer.cpython-311.pyc lithuanian_stemmer.cpython-311.opt-1.pyc lithuanian_stemmer.cpython-311.pyc nepali_stemmer.cpython-311.opt-1.pyc nepali_stemmer.cpython-311.pyc norwegian_stemmer.cpython-311.opt-1.pyc norwegian_stemmer.cpython-311.pyc porter_stemmer.cpython-311.opt-1.pyc porter_stemmer.cpython-311.pyc portuguese_stemmer.cpython-311.opt-1.pyc portuguese_stemmer.cpython-311.pyc romanian_stemmer.cpython-311.opt-1.pyc romanian_stemmer.cpython-311.pyc russian_stemmer.cpython-311.opt-1.pyc russian_stemmer.cpython-311.pyc serbian_stemmer.cpython-311.opt-1.pyc serbian_stemmer.cpython-311.pyc spanish_stemmer.cpython-311.opt-1.pyc spanish_stemmer.cpython-311.pyc swedish_stemmer.cpython-311.opt-1.pyc swedish_stemmer.cpython-311.pyc tamil_stemmer.cpython-311.opt-1.pyc tamil_stemmer.cpython-311.pyc turkish_stemmer.cpython-311.opt-1.pyc turkish_stemmer.cpython-311.pyc yiddish_stemmer.cpython-311.opt-1.pyc yiddish_stemmer.cpython-311.pyc among.py arabic_stemmer.py armenian_stemmer.py basestemmer.py basque_stemmer.py catalan_stemmer.py danish_stemmer.py dutch_stemmer.py english_stemmer.py finnish_stemmer.py french_stemmer.py german_stemmer.py greek_stemmer.py hindi_stemmer.py hungarian_stemmer.py indonesian_stemmer.py irish_stemmer.py italian_stemmer.py lithuanian_stemmer.py nepali_stemmer.py norwegian_stemmer.py porter_stemmer.py portuguese_stemmer.py romanian_stemmer.py russian_stemmer.py serbian_stemmer.py spanish_stemmer.py swedish_stemmer.py tamil_stemmer.py turkish_stemmer.py yiddish_stemmer.py python311-snowballstemmer README.rst python311-snowballstemmer COPYING /usr/lib/python3.11/site-packages/ /usr/lib/python3.11/site-packages/snowballstemmer-2.2.0-py3.11.egg-info/ /usr/lib/python3.11/site-packages/snowballstemmer/ /usr/lib/python3.11/site-packages/snowballstemmer/__pycache__/ /usr/share/doc/packages/ /usr/share/doc/packages/python311-snowballstemmer/ /usr/share/licenses/ /usr/share/licenses/python311-snowballstemmer/ -fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protection -g obs://build.suse.de/SUSE:Maintenance:34925/SUSE_SLE-15-SP4_Update/7f9b392f6f5400d6a2384d2a5dace3e7-python-snowballstemmer.SUSE_SLE-15-SP4_Update drpm xz 5 noarch-suse-linux directory ASCII text Python script, ASCII text executable
! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R R sŶyoL~ӗ utf-8 7873dbc81a3410251ee959d4747014157bda3e58d3a05b4cb427a789c2d65ac6 ? 7zXZ
! t/] "k%~a
L0xT Z^goVy䓱Pdb);ׇruq: N" C7
_i7wos-ͥp̼C3U._9dNZuQWq#_
\n"rk\^8ZW 2*? &U0݇mjq~\ `k*m芏4v+oP~[O?z1 0 ^TD9Z$ ]@Z4J[Af$mˉ.d9,%t2lqCx 8;hk2c^" _B&U'yK,;wP8ܺ4b R3ʪj֬XxWnR Ѕ:6v';!hNߍN\ 0 ,(dZJOޣs2mfXz<,#+= /~NKMezhc`AxYƶRX_V|r3ܶ O~˗pP 4n5qESؗ B9>? øBZݞ)CSej"LP]oj?g*Tq/2tVF4|Y ~_%-E{;F i 5 X֪k~?a~LzT伙H,r&P6H-ktX [:( ,9g24|H[f
ރT@ usdm#15xYY&ř$8N'}mTSo4kx:}V"ĆԌ[Z ^^LYʋۚAzPXݲGLPId QL, $gS%zxe,]!?oKi]a"j74fqѶ}rOT#$D*b|q"Z (ƥ0" SIZeHٹfc*\屬k"TƇ*l#d⮿@Z: Njbvī0'CF˳.6 k!tg }H>ƣ9%u쿛(*"2 Ь'K D?F^uB>3@GRQWU"؊e2@-I24`=t T ߄L5X.+F]l |gu7|c[ǹZNR+劗 N* X mu+8]|0|fu?
gEaXi'J,%d'uKo/VR([eMg:m]3T e/1Z+%z.!cIceA d*fW_vķ*1|pYgj^Q[b5]h?/G2tEb }qstxlė e YsqrՏ&#S2
FKG Q,A]:Ŋ;
> !-w> M tŎ55=gh}Ա ƱiG Qj{*WMdDt4gTg'8 E>rU@1;-v l rMcjOTS+oߕ; Q@ [d>yh,W x\KuϾVx4Ce B $eoPіNa-16VMk3 b!k¤[]bdIy U 8;-֍{@ ;*4H\ i%F&] [ 5
YZ